def all_referenced_columns(query: Query):
"""
Return the set of all columns that are used by a query.
"""
col_exprs: MutableSequence[Any] = []
if query.get_arrayjoin():
col_exprs.extend(to_list(query.get_arrayjoin()))
if query.get_groupby():
col_exprs.extend(to_list(query.get_groupby()))
if query.get_orderby():
col_exprs.extend(to_list(query.get_orderby()))
if query.get_selected_columns():
col_exprs.extend(to_list(query.get_selected_columns()))
# Conditions need flattening as they can be nested as AND/OR
if query.get_conditions():
flat_conditions = list(
chain(*[[c] if is_condition(c) else c
for c in query.get_conditions()]))
col_exprs.extend([c[0] for c in flat_conditions])
if query.get_aggregations():
col_exprs.extend([a[1] for a in query.get_aggregations()])
# Return the set of all columns referenced in any expression
return set(chain(*[columns_in_expr(ex) for ex in col_exprs]))
def test_full_query():
query = Query(
{
"selected_columns": ["c1", "c2", "c3"],
"conditions": [["c1", "=", "a"]],
"arrayjoin": "tags",
"having": [["c4", "=", "c"]],
"groupby": ["project_id"],
"aggregations": [["count()", "", "count"]],
"orderby": "event_id",
"limitby": (100, "environment"),
"sample": 10,
"limit": 100,
"offset": 50,
"totals": True,
"granularity": 60,
},
TableSource("my_table", ColumnSet([])),
)
assert query.get_selected_columns() == ["c1", "c2", "c3"]
assert query.get_aggregations() == [["count()", "", "count"]]
assert query.get_groupby() == ["project_id"]
assert query.get_conditions() == [["c1", "=", "a"]]
assert query.get_arrayjoin() == "tags"
assert query.get_having() == [["c4", "=", "c"]]
assert query.get_orderby() == "event_id"
assert query.get_limitby() == (100, "environment")
assert query.get_sample() == 10
assert query.get_limit() == 100
assert query.get_offset() == 50
assert query.has_totals() is True
assert query.get_granularity() == 60
assert query.get_data_source().format_from() == "my_table"
def test_edit_query():
query = Query({
"selected_columns": ["c1", "c2", "c3"],
"conditions": [["c1", "=", "a"]],
"groupby": ["project_id"],
"aggregations": [["count()", "", "count"]],
"orderby": "event_id",
"sample": 10,
"limit": 100,
"offset": 50,
})
query.set_selected_columns(["c4"])
assert query.get_selected_columns() == ["c4"]
query.set_aggregations([["different_agg()", "", "something"]])
assert query.get_aggregations() == [["different_agg()", "", "something"]]
query.add_groupby(["more", "more2"])
assert query.get_groupby() == ["project_id", "more", "more2"]
query.add_conditions([["c5", "=", "9"]])
assert query.get_conditions() == [
["c1", "=", "a"],
["c5", "=", "9"],
]
query.set_conditions([["c6", "=", "10"]])
assert query.get_conditions() == [
["c6", "=", "10"],
]
def test_empty_query():
query = Query({})
assert query.get_selected_columns() is None
assert query.get_aggregations() is None
assert query.get_groupby() is None
assert query.get_conditions() is None
assert query.get_orderby() is None
assert query.get_sample() is None
assert query.get_limit() == 0
assert query.get_offset() == 0
def test_empty_query():
query = Query({})
assert query.get_selected_columns() is None
assert query.get_aggregations() is None
assert query.get_groupby() is None
assert query.get_conditions() is None
assert query.get_arrayjoin() is None
assert query.get_having() == []
assert query.get_orderby() is None
assert query.get_limitby() is None
assert query.get_sample() is None
assert query.get_limit() is None
assert query.get_offset() == 0
assert query.has_totals() is False
def test_edit_query():
query = Query(
{
"selected_columns": ["c1", "c2", "c3"],
"conditions": [["c1", "=", "a"]],
"arrayjoin": "tags",
"having": [["c4", "=", "c"]],
"groupby": ["project_id"],
"aggregations": [["count()", "", "count"]],
"orderby": "event_id",
"limitby": (100, "environment"),
"sample": 10,
"limit": 100,
"offset": 50,
"totals": True,
},
TableSource("my_table", ColumnSet([])),
)
query.set_selected_columns(["c4"])
assert query.get_selected_columns() == ["c4"]
query.set_aggregations([["different_agg()", "", "something"]])
assert query.get_aggregations() == [["different_agg()", "", "something"]]
query.add_groupby(["more", "more2"])
assert query.get_groupby() == ["project_id", "more", "more2"]
query.add_conditions([["c5", "=", "9"]])
assert query.get_conditions() == [
["c1", "=", "a"],
["c5", "=", "9"],
]
query.set_conditions([["c6", "=", "10"]])
assert query.get_conditions() == [
["c6", "=", "10"],
]
query.set_arrayjoin("not_tags")
assert query.get_arrayjoin() == "not_tags"
query.set_granularity(7200)
assert query.get_granularity() == 7200
query.set_prewhere([["pc6", "=", "10"]])
assert query.get_prewhere() == [["pc6", "=", "10"]]
def test_empty_query():
query = Query({}, TableSource("my_table", ColumnSet([])))
assert query.get_selected_columns() is None
assert query.get_aggregations() is None
assert query.get_groupby() is None
assert query.get_conditions() is None
assert query.get_arrayjoin() is None
assert query.get_having() == []
assert query.get_orderby() is None
assert query.get_limitby() is None
assert query.get_sample() is None
assert query.get_limit() is None
assert query.get_offset() == 0
assert query.has_totals() is False
assert query.get_data_source().format_from() == "my_table"
def test_full_query():
query = Query({
"selected_columns": ["c1", "c2", "c3"],
"conditions": [["c1", "=", "a"]],
"groupby": ["project_id"],
"aggregations": [["count()", "", "count"]],
"orderby": "event_id",
"sample": 10,
"limit": 100,
"offset": 50,
})
assert query.get_selected_columns() == ["c1", "c2", "c3"]
assert query.get_aggregations() == [["count()", "", "count"]]
assert query.get_groupby() == ["project_id"]
assert query.get_conditions() == [["c1", "=", "a"]]
assert query.get_orderby() == "event_id"
assert query.get_sample() == 10
assert query.get_limit() == 100
assert query.get_offset() == 50
def __init__(
self,
dataset: Dataset,
query: Query,
settings: RequestSettings,
) -> None:
parsing_context = ParsingContext()
aggregate_exprs = [
column_expr(dataset, col, query, parsing_context, alias, agg)
for (agg, col, alias) in query.get_aggregations()
]
groupby = util.to_list(query.get_groupby())
group_exprs = [
column_expr(dataset, gb, query, parsing_context) for gb in groupby
]
column_names = query.get_selected_columns() or []
selected_cols = [
column_expr(dataset, util.tuplify(colname), query, parsing_context)
for colname in column_names
]
select_clause = u"SELECT {}".format(
", ".join(group_exprs + aggregate_exprs + selected_cols))
from_clause = u"FROM {}".format(query.get_data_source().format_from())
if query.get_final():
from_clause = u"{} FINAL".format(from_clause)
if not query.get_data_source().supports_sample():
sample_rate = None
else:
if query.get_sample():
sample_rate = query.get_sample()
elif settings.get_turbo():
sample_rate = snuba_settings.TURBO_SAMPLE_RATE
else:
sample_rate = None
if sample_rate:
from_clause = u"{} SAMPLE {}".format(from_clause, sample_rate)
join_clause = ""
if query.get_arrayjoin():
join_clause = u"ARRAY JOIN {}".format(query.get_arrayjoin())
where_clause = ""
if query.get_conditions():
where_clause = u"WHERE {}".format(
conditions_expr(dataset, query.get_conditions(), query,
parsing_context))
prewhere_clause = ""
if query.get_prewhere():
prewhere_clause = u"PREWHERE {}".format(
conditions_expr(dataset, query.get_prewhere(), query,
parsing_context))
group_clause = ""
if groupby:
group_clause = "GROUP BY ({})".format(", ".join(
column_expr(dataset, gb, query, parsing_context)
for gb in groupby))
if query.has_totals():
group_clause = "{} WITH TOTALS".format(group_clause)
having_clause = ""
having_conditions = query.get_having()
if having_conditions:
assert groupby, "found HAVING clause with no GROUP BY"
having_clause = u"HAVING {}".format(
conditions_expr(dataset, having_conditions, query,
parsing_context))
order_clause = ""
if query.get_orderby():
orderby = [
column_expr(dataset, util.tuplify(ob), query, parsing_context)
for ob in util.to_list(query.get_orderby())
]
orderby = [
u"{} {}".format(ob.lstrip("-"),
"DESC" if ob.startswith("-") else "ASC")
for ob in orderby
]
order_clause = u"ORDER BY {}".format(", ".join(orderby))
limitby_clause = ""
if query.get_limitby() is not None:
limitby_clause = "LIMIT {} BY {}".format(*query.get_limitby())
limit_clause = ""
if query.get_limit() is not None:
limit_clause = "LIMIT {}, {}".format(query.get_offset(),
query.get_limit())
self.__formatted_query = " ".join([
c for c in [
select_clause,
from_clause,
join_clause,
prewhere_clause,
where_clause,
group_clause,
having_clause,
order_clause,
limitby_clause,
limit_clause,
] if c
])
def __init__(
self,
dataset: Dataset,
query: Query,
settings: RequestSettings,
prewhere_conditions: Sequence[str],
) -> None:
parsing_context = ParsingContext()
aggregate_exprs = [
column_expr(dataset, col, query, parsing_context, alias, agg)
for (agg, col, alias) in query.get_aggregations()
]
groupby = util.to_list(query.get_groupby())
group_exprs = [
column_expr(dataset, gb, query, parsing_context) for gb in groupby
]
column_names = query.get_selected_columns() or []
selected_cols = [
column_expr(dataset, util.tuplify(colname), query, parsing_context)
for colname in column_names
]
select_clause = u'SELECT {}'.format(
', '.join(group_exprs + aggregate_exprs + selected_cols))
from_clause = u'FROM {}'.format(query.get_data_source().format_from())
if query.get_final():
from_clause = u'{} FINAL'.format(from_clause)
if query.get_sample():
sample_rate = query.get_sample()
elif settings.get_turbo():
sample_rate = snuba_settings.TURBO_SAMPLE_RATE
else:
sample_rate = None
if sample_rate:
from_clause = u'{} SAMPLE {}'.format(from_clause, sample_rate)
join_clause = ''
if query.get_arrayjoin():
join_clause = u'ARRAY JOIN {}'.format(query.get_arrayjoin())
where_clause = ''
if query.get_conditions():
where_clause = u'WHERE {}'.format(
conditions_expr(dataset, query.get_conditions(), query,
parsing_context))
prewhere_clause = ''
if prewhere_conditions:
prewhere_clause = u'PREWHERE {}'.format(
conditions_expr(dataset, prewhere_conditions, query,
parsing_context))
group_clause = ''
if groupby:
group_clause = 'GROUP BY ({})'.format(', '.join(
column_expr(dataset, gb, query, parsing_context)
for gb in groupby))
if query.has_totals():
group_clause = '{} WITH TOTALS'.format(group_clause)
having_clause = ''
having_conditions = query.get_having()
if having_conditions:
assert groupby, 'found HAVING clause with no GROUP BY'
having_clause = u'HAVING {}'.format(
conditions_expr(dataset, having_conditions, query,
parsing_context))
order_clause = ''
if query.get_orderby():
orderby = [
column_expr(dataset, util.tuplify(ob), query, parsing_context)
for ob in util.to_list(query.get_orderby())
]
orderby = [
u'{} {}'.format(ob.lstrip('-'),
'DESC' if ob.startswith('-') else 'ASC')
for ob in orderby
]
order_clause = u'ORDER BY {}'.format(', '.join(orderby))
limitby_clause = ''
if query.get_limitby() is not None:
limitby_clause = 'LIMIT {} BY {}'.format(*query.get_limitby())
limit_clause = ''
if query.get_limit() is not None:
limit_clause = 'LIMIT {}, {}'.format(query.get_offset(),
query.get_limit())
self.__formatted_query = ' '.join([
c for c in [
select_clause, from_clause, join_clause, prewhere_clause,
where_clause, group_clause, having_clause, order_clause,
limitby_clause, limit_clause
] if c
])